PID Controller Tuning Using Soft Computing Techniques - Proceedings of All India Seminar on Biomedical Engineering 2012 (AISOBE-2012) - page 264

PID Controller Tuning Using Soft
Computing Techniques
Nikhileshwar Prasad Adhikari and Amit Gupta
Abstract The aim of this paper is to design a position control of a DC motor by
selection of a PID controller using genetic algorithm. This paper compares two
kinds of tuning methods of parameter for PID controller. One is the controller
design by the genetic algorithm, second is the controller design by the Ziegler and
Nichols method. It was found that the proposed PID parameters adjustment by the
genetic algorithm is better than the Ziegler and Nichols' method. This proposed
method could be applied to the higher order system also.
Keywords DC shunt motor PID controller Ziegler Nichols method Genetic
algorithm
Introduction
DC drive systems are often used in many industrial applications, such as robotics,
actuation, and manipulators. In the first two, a wide range of position control is
required. Tuning method for PID controller is very important for the process
industries. Proportional Integral Derivative (PID) controllers have the advantage of
simple structure, good stability, and high reliability [ 1 ]. Accordingly, PID con-
trollers are widely used to control system outputs, especially for systems with
N. P. Adhikari ( & )
Department of Electrical Engineering, Control System, Gyan Ganga College of Technology,
Jabalpur, India
A. Gupta
Department of Electrical Engineering, Takshshila Institute of Engineering and Technology,
Jabalpur, India